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» Modeling ODP Computational Specifications Using UML
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JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
TSP
2010
13 years 3 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
PG
2003
IEEE
14 years 2 months ago
A State Machine for Real-Time Cutting of Tetrahedral Meshes
We introduce an algorithm that consistently and accurately processes arbitrary intersections in tetrahedral meshes in real-time. The intersection surfaces are modeled up to the cu...
Daniel Bielser, Pascal Glardon, Matthias Teschner,...
AIEDAM
2004
77views more  AIEDAM 2004»
13 years 8 months ago
The role of trust in distributed design
Automated support of design teams, consisting of both human and automated systems, requires an understanding of the role of trust in distributed design processes. By explicitating ...
Niek J. E. Wijngaards, Hidde M. Boonstra, Frances ...
ECCV
2010
Springer
14 years 2 days ago
Automatic Learning of Background Semantics in Generic Surveilled Scenes
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
Carles Fernández, Jordi Gonzàlez, Xavier Roca